code: def test_train_different_inputs(self):
      self.assertInvalidVectorTrain(
          algorithms.Instar(
              step=1, verbose=False, **self.default_properties
          ),
          np.array([[0, 1, -1, -1]]),
          is_feature1d=False,
      )
  
file_path: neupy/tests/algorithms/associative/test_instar.py
imports: import numpy
  from neupy import algorithms
  from base import BaseTestCase
label_desc: Use image node_id 4 for calling the HebbRuleTestCase obj's underlying member method code with example usage: obj.test_train_different_inputs() without return types